Pinned Repositories
Data-Analysis-and-Visualization-on-Data-Scientist-Jobs
At this time, I will share my analysis and visualization what I did on Data Scientist Jobs Dataset.
Data-Analysis-and-Visualization-on-UTBK-2019
In this project, I do some analysis and visualization on samples of scores UTBK SBMPTN 2019 data. I do that because I want to find informations and insights about UTBK in 2019, e.g. what majors and universities are the most favourite in 2019, distribution of participants UTBK scores in 2019, etc.
Hollywood-Movies-Visualizations-and-Recommender-System
In this project, I do some analysis, visualizations, and then create movie recommender system on imdb data. I do that because I want to know more about movies, especially Hollywood movies. Therefore, I do analysis and visualization on imdb data which is contain informations about movies, e.g. who is produced, when the movies release, rating movies, budget and income, etc. After that, I create movie recommender system, which is the system will recommend top 10 similar movies based on the movie that has been input by the user.
Prediction-Bitcoin-Price-with-Gated-Recurrent-Unit-RNN
In this project, I created prediction model for predict bitcoin price with Gated Recurrent Unit Model. GRU is a gating mechanism in recurrent neural networks (RNN) similar to a long short-term memory (LSTM), GRU have more simple computation and faster than LSTM because have fewer number of gates.
Titanic-Survivor-Prediction
At this time, I will share my work which is a prediction titanic survivor from kaggle. This is beginner competition from kaggle, that is, using machine learning to create a model that predicts which passengers survived the Titanic shipwreck (Source : https://www.kaggle.com/c/titanic).
rifkyahmadsaputra's Repositories
rifkyahmadsaputra/Prediction-Bitcoin-Price-with-Gated-Recurrent-Unit-RNN
In this project, I created prediction model for predict bitcoin price with Gated Recurrent Unit Model. GRU is a gating mechanism in recurrent neural networks (RNN) similar to a long short-term memory (LSTM), GRU have more simple computation and faster than LSTM because have fewer number of gates.
rifkyahmadsaputra/Hollywood-Movies-Visualizations-and-Recommender-System
In this project, I do some analysis, visualizations, and then create movie recommender system on imdb data. I do that because I want to know more about movies, especially Hollywood movies. Therefore, I do analysis and visualization on imdb data which is contain informations about movies, e.g. who is produced, when the movies release, rating movies, budget and income, etc. After that, I create movie recommender system, which is the system will recommend top 10 similar movies based on the movie that has been input by the user.
rifkyahmadsaputra/Data-Analysis-and-Visualization-on-Data-Scientist-Jobs
At this time, I will share my analysis and visualization what I did on Data Scientist Jobs Dataset.
rifkyahmadsaputra/Data-Analysis-and-Visualization-on-UTBK-2019
In this project, I do some analysis and visualization on samples of scores UTBK SBMPTN 2019 data. I do that because I want to find informations and insights about UTBK in 2019, e.g. what majors and universities are the most favourite in 2019, distribution of participants UTBK scores in 2019, etc.
rifkyahmadsaputra/Titanic-Survivor-Prediction
At this time, I will share my work which is a prediction titanic survivor from kaggle. This is beginner competition from kaggle, that is, using machine learning to create a model that predicts which passengers survived the Titanic shipwreck (Source : https://www.kaggle.com/c/titanic).